×
验证码:
换一张
忘记密码?
记住我
CORC
首页
科研机构
检索
知识图谱
申请加入
托管服务
登录
注册
在结果中检索
科研机构
西安交通大学 [14]
湖南大学 [10]
大连理工大学 [9]
兰州理工大学 [6]
山东大学 [6]
西安理工大学 [6]
更多...
内容类型
期刊论文 [51]
会议论文 [27]
学位论文 [2]
发表日期
2022 [1]
2019 [6]
2018 [7]
2017 [9]
2016 [2]
2015 [8]
更多...
学科主题
chemistry [1]
×
知识图谱
CORC
开始提交
已提交作品
待认领作品
已认领作品
未提交全文
收藏管理
QQ客服
官方微博
反馈留言
浏览/检索结果:
共80条,第1-10条
帮助
已选(
0
)
清除
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
排序方式:
请选择
作者升序
作者降序
题名升序
题名降序
发表日期升序
发表日期降序
提交时间升序
提交时间降序
Numerical Simulation of Multi-Nozzle Droplet Evaporation Characteristics for Desulfurization Wastewater
期刊论文
ENERGIES, 2022, 卷号: 15, 期号: 14
作者:
Guo, Xinrui
;
Wu, Jiangbo
;
Du, Xiaoze
;
Zhang, Yaocong
;
Feng, Shuqin
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2022/08/09
flue gas desulfurization wastewater
zero discharge of wastewater
atomized droplet
spray evaporation
least-square support vector machine
Parameter analysis of atomized droplets sprayed evaporation in flue gas flow
期刊论文
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, 2019, 卷号: 129, 页码: 936-952
作者:
Feng, Shuqin
;
Xiao, Liehui
;
Ge, Zhihua
;
Yang, Lijun
;
Du, Xiaoze
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/11/15
Flue gas desulfurization wastewater treatment
Spray evaporation
Atomized droplets
Least-Square support vector machine model
Learning Solutions for Electromagnetic Problems Using RBF Network-Based FE-LSSVM
期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 80247-80261
作者:
Han, Xiaoming
;
Liu, Zheng
;
Wang, Jinjun
;
Wu, Ziku
;
Li, Guofeng
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2019/12/02
Electromagnetic problems
least square support vector machine
finite element method
approximate solution
Forecasting stock volatility process using improved least square support vector machine approach
期刊论文
Soft Computing, 2019, 卷号: Vol.23 No.22, 页码: 11867-11881
作者:
Xiao-Li Gong
;
Xi-Hua Liu
;
Xiong Xiong
;
Xin-Tian Zhuang
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2019/11/21
Stock volatility forecasting
Leptokurtosis distribution
Artificial neural network
Least square support vector machine
Particle swarm optimization algorithm
A novel combination forecasting model for wind power integrating least square support vector machine, deep belief network, singular spectrum analysis and locality-sensitive hashing
期刊论文
ENERGY, 2019, 卷号: 168, 页码: 558-572
作者:
Zhang, Yachao
;
Le, Jian
;
Liao, Xiaobing
;
Zheng, Feng
;
Li, Yinghai
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2019/11/21
Combination forecasting model
Singular spectrum analysis
Deep belief network
Least square support vector machine
Wind power
Locality-sensitive hashing
A novel combination forecasting model for wind power integrating least square support vector machine, deep belief network, singular spectrum analysis and locality-sensitive hashing
期刊论文
ENERGY, 2019, 卷号: 168
作者:
Zhang, Yachao
;
Le, Jian
;
Liao, Xiaobing
;
Zheng, Feng
;
Li, Yinghai
收藏
  |  
浏览/下载:80/0
  |  
提交时间:2019/12/05
Wind power
Combination forecasting model
Deep belief network
Singular spectrum analysis
Locality-sensitive hashing
Least square support vector machine
Wind power prediction based on variational mode decomposition multi-frequency combinations
期刊论文
2019, 卷号: 7, 页码: 281-288
作者:
Zhang, Gang
;
Liu, Hongchi
;
Zhang, Jiangbin
;
Yan, Ye
;
Zhang, Lei
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2019/12/20
Wind power prediction
Variational mode decomposition
Multi-frequency combination prediction
Back propagation neural network
Autoregressive moving average model
Least square support vector machine
Liquid Pipeline Leakage Detection Based on Moving Windows LS-SVM Algorithm
会议论文
PROCEEDINGS 2018 33RD YOUTH ACADEMIC ANNUAL CONFERENCE OF CHINESE ASSOCIATION OF AUTOMATION (YAC), 2018-01-01
作者:
Li, Qi
;
Du, Xiaodong
;
Zhang, Honglue
;
Li, Minghao
;
Ba, Wei
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2019/12/02
liquid pipeline
leakage detection
support vector machine
least square support vector machine
Big multi-step wind speed forecasting model based on secondary decomposition, ensemble method and error correction algorithm
期刊论文
Energy Conversion and Management, 2018, 卷号: 156, 页码: 525-541
作者:
Liu, Hui
;
Duan, Zhu
;
Han, Feng-ze
;
Li, Yan-fei*
收藏
  |  
浏览/下载:38/0
  |  
提交时间:2019/12/03
NWP
numerical weather prediction
CS
Cuckoo search
FS
fuzzy system
WRF
weather research and forecasting
KF
Kalman filter
ARIMA
auto-regressive integrated moving average
ARCH
autoregressive conditional heteroskedasticity
ANN
artificial neural networks
SVM
support vector machine
CRO
Coral Reefs optimization algorithm
ELM
extreme learning machine
MFNN
multi-layer feed-forward neural network
SPSA
simultaneous perturbation stochastic approximation
HM
Hammerstein Model
AR
auto-regressive
AdaBoost
adaptive boosting
MLP
multilayer perceptron
DNN-MRT
deep neural network based meta regression and transfer learning
WD
wavelet decomposition
FEEMD
fast ensemble empirical mode decomposition
EMD
empirical mode decomposition
WPD
wavelet packet decomposition
SSA
singular spectrum analysis
BFGS
Broyden–Fletcher–Goldfarb–Shanno Quasi-Newton Back Propagation
LSSVM
least square support vector machine
PSOGSA
partial swarm optimization combined with gravitational search algorithm
FCM
fuzzy C-means
EEMD
ensemble empirical mode decomposition
SampEn
sample entropy
VMD
variational mode decomposition
MAdaBoost
Modified AdaBoost.RT
WF
wavelet filter
MAE
mean absolute error
MAPE
mean absolute percentage error
RMSE
root mean squared error
CWT
continuous wavelet transform
DWT
discrete wavelet transform
LMD
local mean decomposition
ADMM
alternate direction method of multipliers
Big multi-step wind speed forecasting
Wavelet decomposition
Variational mode decomposition
Sample entropy
Modified adaBoost.RT
Wavelet filter
Comparison of two new intelligent wind speed forecasting approaches based on Wavelet Packet Decomposition, Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Artificial Neural Networks
期刊论文
Energy Conversion and Management, 2018, 卷号: 155, 页码: 188-200
作者:
Liu, Hui
;
Mi, Xiwei
;
Li, Yanfei*
收藏
  |  
浏览/下载:41/0
  |  
提交时间:2019/12/03
Wind speed forecasting
Wavelet packet decomposition
Complete Ensemble Empirical Mode Decomposition with Adaptive Noise
Artificial Neural Network
ANN
Artificial Neural Network
AR
Auto Regressive
ARIMA
Auto Regressive Integrated Moving Average
BA
Bat Algorithm
BP
Back-propagation Neural Network
CEEMDAN
Complete Ensemble Empirical Mode Decomposition
CG
Conjugate Gradient
CLSFPA
Flower Pollination Algorithm with Chaotic Local Search
CNN
Convolutional Neural Network
CS
Compressive Sensing
CSA
Cuckoo Search Algorithm
EEMD
Ensemble Empirical Mode Decomposition
ESM
Exponential Smoothing Method
FA
Firefly Algorithm
FAC
First-order Adaptive Coefficient
GA
Genetic Algorithm
GRNN
General Regression Neural Network
HBSA
Hybrid Backtracking Search Algorithm
HWM
Holt-Winters Model
IMFs
Intrinsic Mode Functions
IS
Input parameter Selection
KF
Kalman filter
LSSVM
Least Square Support Vector Machine
MAE
Mean Absolute Error
MAPE
Mean Absolute Percentage Error
MLP
Multilayer Perceptron Neural Network
MOBA
Multi Objective Bat Algorithm
NNCT
No Negative Constraint Theory
NSGA
Non-dominated Sorting Genetic Algorithm
OVMD
Optimized Variational Mode Decomposition
PSO
Particle Swam Optimization
PSOSA
Particle Swarm Optimization based on Simulated Annealing
PSR
Phase Space Reconstruction
RBF
Radial Basis Function Neural Network
RMSE
Root Mean Square Error
SAC
Second-order Adaptive Coefficient
SAM
Seasonal Adjustment Method
SDA
Secondary Decomposition Algorithm
SEA
Seasonal Exponential Adjustment
SOM
Self-Organizing feature Maps
SSA
Singular Spectrum Analysis
SVR
Support Vector Regression
VMD
Variational Mode Decomposition
v-SVM
v-Support Vector Machine
WD
Wavelet Decomposition
WPD
Wavelet Packet Decomposition
©版权所有 ©2017 CSpace - Powered by
CSpace